326 to 350 of 3,720 AI Jobs in London

oversee the day-to-day operation of the market data function, supporting vendor management, licensing, governance, reporting and inventory management while leveraging AI and Python to improve efficiency and scalability. This position offers excellent visibility across the organisation, exposure to senior stakeholders and the opportunity to help shape a modern … firm's market data strategy across multiple regions and business lines. This is a genuinely hands-on position where you'll use AI, automation and lightweight Python development to streamline workflows, improve reporting, enhance vendor analytics and strengthen governance across the firm's market data estate. You'll work closely ...

Help shape the next generation of AI-powered products in Markets! Technology. Join a small, high-impact engineering team in Citi Markets Technology building greenfield Generative AI products that cut across asset classes and push beyond proof-of-concept into real production value. We are looking for AI-first engineers … relentless focus on quality. If you want to work on ambitious problems, shape solutions from the ground up, and help define how AI is engineered in one of the most interesting environments in finance, this is the role for you. The Team: We are a fast-moving team specialising ...

defaults and great developer experience. A defining part of this role is preparing our infrastructure for a future (or present) where some “engineers” are AI agents. You will design platforms, guardrails and interfaces that let both human engineers and autonomous AI agents provision, operate and optimise infrastructure safely … will use AI agents heavily yourself to automate and optimise day‐to‐day platform work. Security is central, not an afterthought. You will help drive a zero‐trust approach across identity, network, workloads and data, ensuring the platform is secure by default for humans and machine/agent identities alike. ...

keep delivery aligned with client outcomes. Raise the delivery bar for execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large‐scale content processing. Own technical design and architecture … easy to operate. Productionise delivery with DevOps and MLOps, automating deployment in AWS and putting evaluation, monitoring and provider‐routing controls in place so AI outputs remain reliable and cost‐effective. Scale practical AI adoption Design and implement AI workflows as skills, models and MCP tools in OpenWebUI, with cost ...

opportunity to grow your career, give back to your community and make a real impact. Job Overview Help shape the next generation of AI-powered products in Markets! Technology. Join a small, high-impact engineering team in the company Markets Technology building greenfield Generative AI products that cut across asset … classes and push beyond proof-of-concept into real production value. We are looking for AI-first engineers who are excited not just by using the latest LLMs, agents, and emerging design patterns, but by applying them with strong engineering discipline, sound judgement, and a relentless focus on quality. ...

related technologies Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed Encourage diversity, inclusion, and respect within the team culture Apply knowledge of automation tools and AI … Hands-on expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI ...

company, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts … deliver modern cloud platforms, from cloud foundations and modern provisioning to migration and modernisation strategies, as well as cloud-native, data-driven, and AI-enabled solutions that meet business needs by applying the most appropriate cloud deployment models and Google Cloud services for each case. You will have the opportunity ...

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. … infrastructure teams to shape the direction of the platform. Ideally you'd have: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent ...

Product to design and deliver scalable, high-quality software that makes a real impact. If you're passionate about building cloud-native applications, embracing AI-assisted development tools and working in a collaborative environment where your ideas are valued, we'd love to hear from you. What … native solutions across both single-tenant and multi-tenant architectures. Collaborate closely with Product to translate complex business requirements into robust technical solutions. Leverage AI engineering tools, coding assistants and automated workflows to improve productivity and code quality. Contribute to AWS cloud infrastructure, monitoring and operational excellence using services including ...

United Kingdom, London, LondonStaff Software Engineer - Machine Learning About this role We re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation … passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer ...

Join a firmwide team accelerating our data, analytics, and AI journey through highly governed, high-impact initiatives. In this role, you will help define how data is made available to power new products and AI models at scale. You will partner across lines of business and corporate functions to design … technical concepts to senior audiences Deep domain expertise (knowledge of clients, products, services) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units Strong knowledge of data mesh architecture and data product concepts Preferred qualifications, capabilities ...

strategies and deliver technology-enabled transformation. You’ll work across Enterprise Technology, Consumer Technology, Semiconductor, Data Centre and Digital Infrastructure clients. Projects may include AI and data transformation, operating model design, business strategy, digital platforms, customer experience and large-scale technology programmes. Key Responsibilities Support strategic and technology transformation programmes … High Tech clients. Analyse business challenges and develop data-driven recommendations. Work with cross-functional teams using Agile delivery methodologies. Contribute to AI, cloud, data and digital transformation engagements. Build trusted client relationships through high-quality delivery. Prepare presentations and executive materials for senior stakeholders. Collaborate across Accenture Strategy, Technology ...

communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts ...

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops … Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI‐native products through conversation and interaction data. You will work at scale with unstructured text data – prompts, model outputs, user edits, feedback – to discover patterns ...

DESCRIPTION Join a firmwide team accelerating our data, analytics, and AI journey through highly governed, high-impact initiatives. In this role, you will help define how data is made available to power new products and AI models at scale. You will partner across lines of business and corporate functions … technical concepts to senior audiences Deep domain expertise (knowledge of clients, products, services) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units Strong knowledge of data mesh architecture and data product concepts Preferred qualifications, capabilities ...

Nonlinear trading desk Develops secure and high‐quality production code, and reviews and debugs code written by others Drives team adoption of enterprise‐authorized AI‐assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy … testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‐authorized AI‐assisted development and automation capabilities, to improve the value realized by automation. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall ...

offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl , Unilever and Metro. Joining the AI Strategy, Research & Enablement team, you'll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real … collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. We're looking for a Senior Research Data Scientist to play a key role in developing dunnhumby's next-generation models across ...

offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Joining the AI Strategy, Research & Enablement team, you'll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real … collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. We're looking for a Senior Research Data Scientist to play a key role in developing dunnhumby's next-generation models across ...

requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake‐native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern the application database landscape across – reviewing schema designs, indexing strategies, and data lifecycle … meets BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores ...

coverage Commercial & People Oversee the commercial rhythm of the region — account management, pipeline development, and commercial excellence Track and synthesize commercial performance data — using AI-assisted tools where relevant — to generate sharper business insights for the leadership team Support business development discussions with the RPAL and sector leadership Play … strategy for our critical Expert base Drive regional people activities — including affiliation, optimal deployment of CT/ECT talent, and pipelining — using data and AI-powered tools to track cohort health and surface insights proactively Lead region-specific people initiatives including DE&I agenda and PDPC process Operations & Execution Automate ...

requirements of a global 24x7 trading operation, while balancing stringent non‐functional demands for availability, latency, and resilience. Critically, you will lean heavily into AI‐driven development. Using Goldman Sachs' AI tooling and agentic coding assistants, you will govern multiple AI agents, rapidly comprehend large legacy codebases, generate and assess … strategic transformation : Work alongside domain experts to understand existing production processes, challenge long‐held assumptions that may no longer hold in a cloud‐centric, AI‐driven world, and define and deliver the requirements for CTL integration. Multiply your output with AI : Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot ...

personalize content and to enable social media functionality. For further information, please see our Cookie Policy. To enhance your experience, we use an AI assistant, Olivia, to help you explore roles and learn more about FTI Consulting. For access to Olivia, please accept or decline.#Director, Data Science, Digital & Insights, Strategic … Digital & Insights leadership group. You will be a recognised industry leader, skilled in the art of fusing the cutting edge of Data & Analytics and AI advisory with corporate communications consultancy, strategy development and senior client advisory. The role requires a significant level of technical knowledge relating to, for example:* AI ...

closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock ...

both technical and non technical stakeholders Practical, delivery focused mindset with the ability to remove bottlenecks and drive outcomes Nice to Haves: Exposure to AI/ML tools, automation, and modern engineering accelerators Experience embedding AI driven workflows or intelligent automation into product delivery Background in trading, financial platforms ...

Role Join us as a Senior Product Manager at S&P Global Energy, where you will lead the development and delivery of our Agentic AI internal pricing system. Grade Level: 11 The Team: Our digital product management team at S&P Global Energy is a dynamic, agile group of experts … Responsibilities Own the product roadmap for our next-gen internal pricing ecosystem. Understand commodity trading and pricing workflows to translate pain points into reimagined, AI-enabled user workflows that save time, enhance our products, and shorten time to market. Translate workflow needs into product requirements and acceptance criteria. Design ...